Being able to effectively measure a RoI on the back of an Advanced Analytics project is paramount. In other words, any Advanced Analytics project that is not business outcome driven is worthless.
Analytics is being discussed more and more often in top table conversations, but why do so many organisations still struggle to get to grips with it?
A 3 step process to Understand, Assess and Audit your Data for Advanced Analytics.
There are times when deploying advanced analytics initiatives can feel like you are in a war. There are times when deploying advanced analytics initiatives can feel like you are in a war. Let me tell you about my experience, told as war movies!
While I’m not sure this statement is true when referring to people, I really believe it is true when talking about data. I have absolute belief in the richness of data and its ability to enable us to make evidence based decisions.
As I observe and read about the raging fires causing massive destruction, I have been reflecting on how companies react and respond to crisis mode, and what they can do to move from firefighting to strategic prevention and management.
The reasons behind, and some hints to help you during difficult conversations and challenging situations!
When you start with Analytics you might feel overwhelmed, you have all that incredible power in your hands but don’t know how to wield it most effectively. From my own experience I can tell you that starting with Analytics is not different from learning a new language or how to play a musical instrument, the more you practice, the better you get. So just how do you go about getting the most from this valuable asset? You can start by not making any of these five common mistakes.
Preventative and Conditional Maintenance are often mistaken with Predictive Maintenance. This animation gives you an overview of the different types of maintenance, the differences between them and what Predictive Maintenance is really about.
Reports from the insurance industry consistently highlight that the quality of customer experience remains the biggest factor driving customers to remain loyal or switch to another insurance provider. Hence, the focus should be on how to improve the quality of the customer experience rather than reducing fraud.